Automatic land use and land cover change（LUCC）detection via remote sensing image has a wide application in the area of LUCC research

nature resource and environment monitoring and protection.Under the condition that one time（T 1 ）data is existed land use and land cover map

and another time（T 2 ）data is remotely sensed imagery

howto detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge-oriented method for automatic change detection under this situation.Firstly

the land use and land cover map in T 1 and remote sensing images in T 2 were registered and superimposed precisely.Secondly

the remote sensing knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T 1 map.Thirdly

guided by T 1 land use and land cover map

feature statistics for each parcel or pixel in remote sensing images were extracted.Finally

land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use and land cover classes with the extracted statistical information in that parcel or pixel.Experimental results and some practicat applications showthe efˉficiency of this method.